Learn DevOps Helm/Helmfile Kubernetes deployment

Unlock the power of Kubernetes deployment on AWS with this practical course! Learn how to efficiently manage and scale applications using Helm charts with Helm 3 and Helmfile. This course provides a comprehensive understanding of deploying applications to a Kubernetes cluster in AWS, focusing on real-world applications and a hands-on approach.

Here's what you'll master:

• Deploying Applications with Helm: Gain proficiency in deploying various applications to Kubernetes clusters hosted on Amazon Web Services (AWS).
• Helm Chart Fundamentals: Learn to create Helm charts from scratch, understanding the structure and best practices for packaging and deploying applications.
• Practical Examples: Dive into practical examples, including:
  • Deploying Jupyter Notebooks as Docker containers, both locally and within Kubernetes on AWS.
  • Setting up a MySQL database within your Kubernetes environment.
  • Deploying Gogs, a self-hosted, GitHub-like web UI.
  • Automating deployments with Jenkins using custom Helm charts from your own repository.
• Helm Chart Repository Management: Learn to deploy and manage a Chartmuseum repository for your Helm charts.
• Monitoring and Observability: Implement Grafana and Prometheus for monitoring your Kubernetes cluster and applications from Chartmuseum.
• Load Balancing: Configure an Nginx Ingress Controller as a LoadBalancer for improved application accessibility.

This course emphasizes a practical, step-by-step approach, designed to help you build a solid understanding and adapt the concepts to your own workflows. You'll gain the skills to confidently deploy and manage applications on Kubernetes in AWS using Helm and Helmfile.